Hugh Zhang

Artificial Intelligence · with Hashimoto · 2019

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Hugh Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Chin-Yew Lin
  2. Oriol Vinyals
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Alon Lavie
  6. Anjuli Kannan
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Jiwei Li
  10. Alex Krizhevsky

Who trusts Hugh Zhang overall

  1. Elizabeth Clark
  2. Sebastian Gehrmann
  3. Daniel Kang
  4. Rishi Bommasani
  5. Ari Holtzman
  6. Asli Celikyilmaz
  7. Rowan Zellers
  8. Maarten Sap
  9. Dallas Card
  10. Krishna Pillutla

Papers from Hugh Zhang's perspective

Ordered by how strongly the researchers Hugh Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. GENERATIVE ADVERSARIAL NETS
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers